CN104902143B - A kind of image de-noising method and device based on resolution ratio - Google Patents
A kind of image de-noising method and device based on resolution ratio Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of image de-noising method and device based on resolution ratio, wherein, this method includes：When opening camera, current environmental light brightness value is obtained；First resolution and second resolution corresponding to the collection image of the camera are obtained, wherein, the first resolution is the resolution ratio of camera sensing device output, and the second resolution, which is that output is described, gathers the resolution ratio needed during image；Based on the current environmental light brightness value, the first resolution and the second resolution, the target removing-noise strength parameter to the collection image is obtained；Denoising is carried out to the collection image using the target removing-noise strength parameter, exports the collection image after the denoising.Implement the embodiment of the present invention, the quality of output image can be lifted, improve the picture effect of output image.
Description
Technical field
The present invention relates to technical field of image processing, more particularly to a kind of image de-noising method and dress based on resolution ratio
Put.
Background technology
At present, mobile phone camera comes when the image to collection carries out denoising according only to current environmental light brightness
The removing-noise strength of the denoising is determined, environmental light brightness is darker, and removing-noise strength is stronger.However, in actual applications, work as shooting
Using output image need resolution ratio it is relatively low when, because output image resolution ratio is low, noise when to the image sampling
Erased.Now, in the case where current environmental light brightness is dark, if still being gone using larger removing-noise strength to image
Make an uproar processing, then the image frame of output can be caused very fuzzy so that the picture effect of output image is poor.
The content of the invention
The embodiments of the invention provide a kind of image de-noising method and device based on resolution ratio, output image can be lifted
Quality, improve the picture effect of output image.
The embodiment of the invention discloses a kind of image de-noising method based on resolution ratio, including：
When opening camera, current environmental light brightness value is obtained；
First resolution and second resolution corresponding to the collection image of the camera are obtained, wherein, described first point
Resolution is the resolution ratio of camera sensing device output, and the second resolution, which is that output is described, gathers the resolution needed during image
Rate；
Based on the current environmental light brightness value, the first resolution and the second resolution, obtain and adopted to described
Collect the target removing-noise strength parameter of image；
Denoising is carried out to the collection image using the target removing-noise strength parameter, after exporting the denoising
Collection image.
Optionally, it is described to be based on the current environmental light brightness value, the first resolution and the second resolution, obtain
The target removing-noise strength parameter to the collection image is taken, including：
According to the current environmental light brightness value, it is determined that the first removing-noise strength parameter to the collection image；
Calculate the ratio of the first resolution and the second resolution；
According to the ratio, the first removing-noise strength parameter is adjusted, obtains target removing-noise strength parameter.
Optionally, the quotient that the ratio obtains for the second resolution divided by the first resolution, the target
Removing-noise strength is directly proportional to the ratio corresponding to removing-noise strength parameter.
Optionally, the quotient that the ratio obtains for the first resolution divided by the second resolution, the target
Removing-noise strength corresponding to removing-noise strength parameter is inversely proportional with the ratio.
Optionally, the current environmental light brightness value includes the sensitivity ISO values of current environment；It is described according to described current
Environment bright angle value, it is determined that to the first removing-noise strength parameter of the collection image, including：
By the ISO values of the current environment compared with the ISO values in the ISO sections stored, work as front ring described in judgement
Whether the ISO values in border are in the ISO interval ranges；
If the ISO values of the current environment are in the ISO interval ranges, by denoising corresponding to the ISO sections
Intensive parameter is defined as the first removing-noise strength parameter to the collection image.
Optionally, it is described to be based on the current environmental light brightness value, the first resolution and the second resolution, obtain
The target removing-noise strength parameter to the collection image is taken, including：
Found out from the parameter configuration list of storage and the current environmental light brightness value, the first resolution and institute
State removing-noise strength parameter corresponding to second resolution, the parameter configuration list include different environment bright angle values, first point
The mapping relations of resolution and second resolution；
The removing-noise strength parameter found out is defined as to the target removing-noise strength parameter of the collection image.
Correspondingly, the embodiment of the invention also discloses a kind of image denoising device, including：
First acquisition module, for when opening camera, obtaining current environmental light brightness value；
Second acquisition module, differentiated for obtaining first resolution corresponding to the collection image of the camera and second
Rate, wherein, the first resolution is the resolution ratio of camera sensing device output, and the second resolution is the output collection
The resolution ratio needed during image；
Parameter determination module, for based on the current environmental light brightness value, the first resolution and described second point
Resolution, obtain the target removing-noise strength parameter to the collection image；
Image processing module, for the target removing-noise strength parameter that is obtained using the parameter determination module to described
Gather image and carry out denoising, export the collection image after the denoising.
Optionally, the parameter determination module includes：
First determining unit, for according to the current environmental light brightness value, it is determined that being gone to the first of the collection image
Make an uproar intensive parameter；
Computing unit, for calculating the ratio of the first resolution and the second resolution；
Parameter adjustment unit, for the ratio being calculated according to the computing unit, adjust first denoising
Intensive parameter, obtain target removing-noise strength parameter.
Optionally, the quotient that the ratio obtains for the second resolution divided by the first resolution, the target
Removing-noise strength is directly proportional to the ratio corresponding to removing-noise strength parameter.
Optionally, the quotient that the ratio obtains for the first resolution divided by the second resolution, the target
Removing-noise strength corresponding to removing-noise strength parameter is inversely proportional with the ratio.
Optionally, the current environmental light brightness value includes the sensitivity ISO values of current environment；First determining unit
It is specifically used for：
By the ISO values of the current environment compared with the ISO values in the ISO sections stored, work as front ring described in judgement
Whether the ISO values in border are in the ISO interval ranges；If the ISO values of the current environment are in the ISO interval ranges
It is interior, then removing-noise strength parameter corresponding to the ISO sections is defined as the first removing-noise strength parameter to the collection image.
Optionally, the parameter determination module includes：
Searching unit, for being found out from the parameter configuration list of storage and the current environmental light brightness value, described
Removing-noise strength parameter corresponding to first resolution and the second resolution, the parameter configuration list include different ambient lights
The mapping relations of brightness value, first resolution and second resolution；
Second determining unit, the removing-noise strength parameter for the searching unit to be found out are defined as the collection
The target removing-noise strength parameter of image.
The embodiment of the present invention can be defeated by obtaining current environmental light brightness value, camera sensing device when opening camera
The second resolution that the first resolution and output image gone out needs, to determine to obtain the removing-noise strength ginseng to current acquired image
Number, i.e., the removing-noise strength used to present image can be adjusted with reference to the resolution sizes required for output image, so as to keep away
When having exempted from that resolution ratio is relatively low needed for output image, image is carried out at denoising according only to the removing-noise strength that current environment parameter determines
Reason, caused by the image frame that exports it is fuzzy the problem of, enabling lift the quality of output image, improve output image
Picture effect.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, it will use below required in embodiment
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the present invention, general for this area
For logical technical staff, on the premise of not paying creative work, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of schematic flow sheet of image de-noising method based on resolution ratio provided in an embodiment of the present invention；
Fig. 2 is the schematic flow sheet of another image de-noising method based on resolution ratio provided in an embodiment of the present invention；
Fig. 3 is the schematic flow sheet of another image de-noising method based on resolution ratio provided in an embodiment of the present invention；
Fig. 4 is a kind of structural representation of image denoising device provided in an embodiment of the present invention；
Fig. 5 is the structural representation of another image denoising device provided in an embodiment of the present invention；
Fig. 6 is the structural representation of another image denoising device provided in an embodiment of the present invention；
Fig. 7 is a kind of structural representation of terminal provided in an embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is part of the embodiment of the present invention, rather than whole embodiments.Based on this hair
Embodiment in bright, the every other implementation that those of ordinary skill in the art are obtained under the premise of creative work is not made
Example, belongs to the scope of protection of the invention.
The embodiment of the invention discloses a kind of image de-noising method and device based on resolution ratio, output image can be lifted
Quality, improve the picture effect of output image.Describe in detail individually below.
Referring to Fig. 1, the flow that Fig. 1 is a kind of image de-noising method based on resolution ratio provided in an embodiment of the present invention is shown
It is intended to.Specifically, it may comprise steps of as shown in figure 1, being somebody's turn to do the image de-noising method based on resolution ratio：
S101：When opening camera, current environmental light brightness value is obtained.
It should be noted that the methods described of the embodiment of the present invention can be applied particularly to smart mobile phone (such as Android hands
Machine, iOS mobile phones etc.), tablet personal computer, mobile internet device (Mobile Internet Devices, MID), individual digital help
Reason (Personal Digital Assistant, PAD) etc. is provided with the terminal of camera application.Wherein, the current environment
Brightness values can be specially the sensitivity ISO values under current environment.
S102：First resolution and second resolution corresponding to the collection image of the camera are obtained, wherein, described
One resolution ratio is the resolution ratio of camera sensing device output, and the second resolution, which is that output is described, gathers point needed during image
Resolution.
Specifically, in general, the resolution ratio of camera sensing device sensor outputs is that first resolution divides for fixed
Resolution, such as 3k*4k=1200w (pixel), and camera application output image required for resolution ratio be second resolution very
The 1200w need not be reached when more, for example only need 2k*3k=600w (pixel).Imitated in order to ensure the picture of output image
Fruit, you can according to current environmental light brightness value, and combine the first resolution and second resolution such as further combined with this
The ratio of one resolution ratio and second resolution is determined to carry out collection image the removing-noise strength parameter of denoising.
S103：Based on the current environmental light brightness value, the first resolution and the second resolution, obtain to institute
State the target removing-noise strength parameter of collection image.
As an alternative embodiment, the target removing-noise strength parameter can be the current environment light according to the acquisition
What brightness value, the first resolution and the second resolution were calculated.That is, it is described to be based on the current environmental light brightness
Value, the first resolution and the second resolution, the target removing-noise strength parameter to the collection image is obtained, can be had
Body is：According to the current environmental light brightness value, it is determined that the first removing-noise strength parameter to the collection image；Calculate described
The ratio of one resolution ratio and the second resolution；According to the ratio, the first removing-noise strength parameter is adjusted, obtains target
Removing-noise strength parameter.
As an alternative embodiment, the target removing-noise strength parameter can also be the environmental light brightness according to storage
Mapping relations between value, first resolution and second resolution and removing-noise strength parameter are looked into from preset parameter configuration list
Find out.That is, it is described to be based on the current environmental light brightness value, the first resolution and the second resolution, acquisition pair
The target removing-noise strength parameter of the collection image, can also be specially：Found out from the parameter configuration list of storage and institute
State current environmental light brightness value, the first resolution and removing-noise strength parameter corresponding to the second resolution, the parameter
Configured list includes the mapping relations of different environment bright angle values, first resolution and second resolution；The institute that will be found out
State the target removing-noise strength parameter that removing-noise strength parameter is defined as the collection image.
S104：Denoising is carried out to the collection image using the target removing-noise strength parameter, exports the denoising
Collection image after processing.
In specific embodiment, target is being obtained according to current environment brightness values, first resolution and the second resolution
After removing-noise strength parameter, you can image denoising processing is carried out based on the target removing-noise strength parameter, so as to obtain current shooting
Using the image of required resolution sizes.
Implementing the embodiment of the present invention can be when opening camera, by obtaining current environmental light brightness value, camera sensing
The second resolution that the first resolution and output image of device output need is strong to determine to obtain denoising to current acquired image
Parameter is spent, i.e., can adjust the removing-noise strength used to present image with reference to the resolution sizes required for output image, from
And when avoiding that resolution ratio is relatively low needed for output image, the removing-noise strength determined according only to current environment parameter is gone to image
Make an uproar processing, caused by the image frame that exports it is fuzzy the problem of, enabling lift the quality of output image, improve output figure
The picture effect of picture.
Further, referring to Fig. 2, Fig. 2 is another image denoising based on resolution ratio provided in an embodiment of the present invention
The schematic flow sheet of method.Specifically, it may comprise steps of as shown in Fig. 2 being somebody's turn to do the image de-noising method based on resolution ratio：
S201：When opening camera, current environmental light brightness value is obtained.
In specific embodiment, camera application is opened in user, when calling camera collection image, you can triggering obtains current
Environment bright angle value, to determine the current default removing-noise strength ginseng to the collection image according to the current environment brightness values
Number, i.e. the first removing-noise strength parameter.
S202：First resolution and second resolution corresponding to the collection image of the camera are obtained, wherein, described
One resolution ratio is the resolution ratio of camera sensing device output, and the second resolution, which is that output is described, gathers point needed during image
Resolution.
S203：According to the current environmental light brightness value, it is determined that the first removing-noise strength parameter to the collection image.
In an alternate embodiment of the invention, the current environmental light brightness value may include the sensitivity ISO values of current environment；It is described
According to the current environmental light brightness value, it is determined that to the first removing-noise strength parameter of the collection image, can be specially：By institute
The ISO values of current environment are stated compared with the ISO values in the ISO sections stored, judge the current environment ISO values whether
In the ISO interval ranges；If the ISO values of the current environment are in the ISO interval ranges, by the ISO
Removing-noise strength parameter corresponding to section is defined as the first removing-noise strength parameter to the collection image.Specifically, can be by difference
Division obtains multiple ISO sections after ISO values under environment are ranked up according to order from high to low or from low to high, each
ISO sections include multiple ISO values, and associate one group of removing-noise strength parameter, every group of removing-noise strength parameter pair for each ISO section
A removing-noise strength is answered, denoising is carried out with the image gathered using the removing-noise strength parameter to camera.Acquiring
After the ISO values of current environment, you can the ISO sections where the current ISO values are determined, so that it is determined that going out the current ISO values pair
The removing-noise strength parameter answered, i.e. the first removing-noise strength parameter, to use the first removing-noise strength parameter to camera collection image
Carry out denoising.
S204：Calculate the ratio of the first resolution and the second resolution.
S205：According to the ratio, the first removing-noise strength parameter is adjusted, obtains target removing-noise strength parameter.
As an alternative embodiment, the ratio can be the second resolution divided by the first resolution
Obtained quotient, then removing-noise strength corresponding to the target removing-noise strength parameter is directly proportional to the ratio.
Specifically, the resolution ratio for assuming camera sensing device sensor outputs is that first resolution is x_output, y_
Output, and the resolution ratio needed during camera application output image i.e. second resolution is x_need, y_need, the then ratio
Can be the quotient that the second resolution divided by first resolution obtain, i.e. ratio r atio=(x_need*y_need)/(x_
output*y_output).When ratio is smaller, done in the image that the image processor ISP of terminal gathers to camera at sampling
Noise is smeared more severe during reason, therefore, the removing-noise strength (denoise_ of denoising is carried out to the collection image
Strength) just should be smaller.Now, you can the removing-noise strength parameter to image is further adjusted according to ratio r atio,
For example target removing-noise strength can be determined according to denoise_strength1*ratio, wherein, the denoise_strength1
Removing-noise strength as corresponding to the first removing-noise strength parameter.That is, the resolution ratio and sensor that are needed when output image
The resolution ratio of output is consistent, that is, when the size for needs of taking pictures is identical with sensor Output Sizes, you can the denoising using acquiescence is strong
Degree parameter is the progress image denoising processing of the first removing-noise strength parameter, and the reduction of the resolution ratio with the needs, ratio r atio
Reduce, you can readjust image denoising intensive parameter, reduce the removing-noise strength to the collection image in proportion, obtain target and go
Corresponding to intensity of making an uproar such as denoise_strength=denoise_strength1*ratio, i.e. the target removing-noise strength parameter
Removing-noise strength is directly proportional to the ratio.For example, x_output=3k, y_output=4k, x_need=2k, y_ are worked as
The resolution ratio (first resolution) of need=3k, i.e. sensor output is 3k*4k=1200w, needed for camera application output image
The resolution ratio (second resolution) wanted is 2k*3k=600w, then ratio=600w/1200w=0.5, then can adjust according to current
The acquiescence removing-noise strength parameter (i.e. the first removing-noise strength parameter) that environment bright angle value is determined, obtain target removing-noise strength ginseng
Number so that removing-noise strength corresponding to the target removing-noise strength parameter is one of removing-noise strength corresponding to the acquiescence removing-noise strength parameter
Half, to realize the removing-noise strength reduced based on image resolution ratio to the camera collection image.
Differentiated as an alternative embodiment, the ratio can also be the first resolution divided by described second
The quotient that rate obtains, then removing-noise strength is inversely proportional with the ratio corresponding to the target removing-noise strength parameter.
Specifically, the ratio of the first resolution and second resolution can also be the first resolution divided by described second
The quotient that resolution ratio obtains, i.e. ratio r atio=(x_output*y_output)/(x_need*y_need).Correspondingly, can root
Target removing-noise strength is determined according to denoise_strength1/ratio, wherein, the denoise_strength1 is first
Removing-noise strength corresponding to removing-noise strength parameter.That is, the resolution ratio needed when output image and point of sensor outputs
When resolution is consistent, you can the removing-noise strength parameter using acquiescence is the progress image denoising processing of the first removing-noise strength parameter, and with
The reduction of the second resolution, ratio r atio increases, you can readjust image denoising intensive parameter, in proportion reduction pair
The removing-noise strength of the collection image, obtain target removing-noise strength such as denoise_strength=denoise_strength1/
Ratio, i.e. removing-noise strength corresponding to the target removing-noise strength parameter are inversely proportional with the ratio.
S206：Denoising is carried out to the collection image using the target removing-noise strength parameter, exports the denoising
Collection image after processing.
In specific embodiment, determined to obtain removing-noise strength parameter i.e. of current default according to current environmental light brightness value
One removing-noise strength parameter, and the first removing-noise strength parameter is adjusted according to the ratio of the first resolution and second resolution
It is whole, after obtaining final target removing-noise strength parameter, you can image denoising processing is carried out based on the target removing-noise strength parameter,
So as to obtain the image of resolution sizes needed for camera application.
Further, after exporting the collection image after the denoising, it can also receive user and operate target button institute
The image viewing instruction of triggering；Export the prompt message for prompting input information to be verified；Receive treating for prompt message input
Checking information；If verifying, information to be verified is consistent with default checking information, and response image checks instruction, output image.Specifically
, after the image viewing instruction that terminal receives that user's operation target button is triggered, terminal is exportable defeated for prompting
Enter the prompt message of information to be verified；And terminal can export the information input port to be verified for inputting information to be verified.
Wherein, the information to be verified may include but be not limited to password to be verified, finger print information to be verified, shape of face information to be verified, to be tested
Demonstrate,prove any one in iris information, retinal information to be verified and voiceprint to be verified and several combinations.This is advance
The default checking information set may include but be not limited to default checking password, default checking finger print information, default checking shape of face letter
In breath, default checking iris information, default checking retinal information and default checking voiceprint any one and it is several
Combination.
In specific embodiment, above-mentioned default checking information can be included corresponding to fingerprint string information and each fingerprint
Input time；Correspondingly, verify whether information to be verified is consistent with default checking information may comprise steps of：
Verify whether fingerprint string is identical with the fingerprint string that default checking information includes, and the input time of identical fingerprints
Whether difference is respectively less than preset value, if checking fingerprint string is identical with the fingerprint string that default checking information includes, and identical finger
The difference of the input time of line is respectively less than preset value, then can verify that information to be verified is consistent with default checking information；Conversely,
Verify that information to be verified and default checking information are inconsistent.Wherein, by implementing the embodiment, it can prevent disabled user from existing
The image that terminal taking obtains arbitrarily is checked in terminal, so as to effectively prevent terminal from being operated wantonly by disabled user.
In embodiments of the present invention, when starting camera, can determine to give tacit consent to by obtaining current environmental light brightness value
Removing-noise strength parameter be the first removing-noise strength parameter, and by calculate camera sensing device export first resolution and output
The ratio for the second resolution that image needs, is adjusted based on the ratio to the acquiescence removing-noise strength parameter of current acquired image
It is whole, so as to finally determine be adapted to current acquired image removing-noise strength parameter, i.e., can be with reference to output image required for divide
Resolution size adjusts the removing-noise strength used to present image, so as to when avoiding that resolution ratio is relatively low needed for output image, only
Denoising carried out to image according to the removing-noise strength that current environment parameter determines, caused by the image frame that exports it is fuzzy
Problem, the quality of output image can be lifted, improve the picture effect of output image.
Further, referring to Fig. 3, Fig. 3 is another image denoising based on resolution ratio provided in an embodiment of the present invention
The schematic flow sheet of method.Specifically, it may comprise steps of as shown in figure 3, being somebody's turn to do the image de-noising method based on resolution ratio：
S301：When opening camera, current environmental light brightness value is obtained.
Specifically, the current environmental light brightness value can be specially the sensitivity ISO values under current environment.
S302：First resolution and second resolution corresponding to the collection image of the camera are obtained, wherein, described
One resolution ratio is the resolution ratio of camera sensing device output, and the second resolution, which is that output is described, gathers point needed during image
Resolution.
S303：Find out from the parameter configuration list of storage and differentiated with the current environmental light brightness value, described first
Removing-noise strength parameter corresponding to rate and the second resolution.
Wherein, the parameter configuration list includes different environment bright angle values, first resolution and second resolution
Mapping relations.
S304：The removing-noise strength parameter found out is defined as to the target removing-noise strength parameter of the collection image.
In specific embodiment, can obtain respectively different environment bright angle values, first resolution and second resolution and its
Corresponding removing-noise strength parameter, and the environment bright angle value, first resolution and second resolution and its corresponding denoising is strong
Mapping relations between degree parameter, and each parameter are stored in preset parameter configuration list, i.e., in the parameter configuration list
Mapping relations including multigroup environment bright angle value, first resolution and second resolution and removing-noise strength parameter.Work as acquisition
After obtaining current environmental light brightness value, first resolution and second resolution, you can by current environment brightness values, first
Resolution ratio and second resolution as index, found out in preset parameter configuration list with the current environment brightness values,
Removing-noise strength parameter corresponding to first resolution and second resolution, so that the removing-noise strength parameter found out according to this is to image
Carry out denoising.
It should be noted that in the parameter configuration list, can be each group of environment bright angle value, first resolution and
The corresponding one group of removing-noise strength parameter of second resolution, or multigroup environment bright angle value, first resolution and second resolution pair
One group of removing-noise strength parameter is answered, the embodiment of the present invention does not limit.
S305：Denoising is carried out to the collection image using the target removing-noise strength parameter, exports the denoising
Collection image after processing.
In embodiments of the present invention, can be by obtaining current environmental light brightness value, camera sensing when starting camera
The second resolution that the first resolution and output image of device output need, and find out from preset parameter configuration list with
The current environment brightness values, first resolution and removing-noise strength parameter corresponding to second resolution are used as to current acquired image
Removing-noise strength parameter, i.e., can determine to go present image use with reference to the resolution sizes required for output image
Make an uproar intensity, when avoiding that resolution ratio is relatively low needed for output image, the removing-noise strength determined according only to current environment parameter is to image
Carry out denoising, caused by the image frame that exports it is fuzzy the problem of, the quality of output image can be lifted, improve output
The picture effect of image.
Referring to Fig. 4, Fig. 4 is a kind of structural representation of image denoising device provided in an embodiment of the present invention.Specifically,
As shown in figure 4, the described image denoising device of the embodiment of the present invention can include the first acquisition module 11, the second acquisition module
12nd, parameter determination module 13 and image processing module 14.Wherein,
First acquisition module 11, for when opening camera, obtaining current environmental light brightness value.
It should be noted that the described device of the embodiment of the present invention can specifically be arranged at smart mobile phone (such as Android hands
Machine, iOS mobile phones etc.), tablet personal computer, MID, PAD etc. be provided with the terminal of camera application.
Second acquisition module 12, for obtaining first resolution and second corresponding to the collection image of the camera
Resolution ratio, wherein, the first resolution is the resolution ratio of camera sensing device output, and the second resolution is described in output
Gather the resolution ratio needed during image.
The parameter determination module 13, for based on the current environmental light brightness value, the first resolution and described
Second resolution, obtain the target removing-noise strength parameter to the collection image.
Optionally, the target removing-noise strength parameter can be according to the current environmental light brightness value of the acquisition, described first
What resolution ratio and the second resolution were calculated.
Optionally, the target removing-noise strength parameter can also be according to the environment bright angle value of storage, first resolution and
What the mapping relations between second resolution and removing-noise strength parameter were found out from preset parameter configuration list.
Described image processing module 14, the target removing-noise strength for being obtained using the parameter determination module 13 are joined
It is several that denoising is carried out to the collection image, export the collection image after the denoising.
In specific embodiment, in parameter determination module 13 according to the current environment brightness values, first resolution and second
After resolution ratio acquires target removing-noise strength parameter, image processing module 14 can be entered based on the target removing-noise strength parameter
Row image denoising processing, so as to obtain the image of resolution sizes needed for current shooting application.
Implementing the embodiment of the present invention can be when opening camera, by obtaining current environmental light brightness value, camera sensing
The second resolution that the first resolution and output image of device output need is strong to determine to obtain denoising to current acquired image
Parameter is spent, i.e., can adjust the removing-noise strength used to present image with reference to the resolution sizes required for output image, from
And when avoiding that resolution ratio is relatively low needed for output image, the removing-noise strength determined according only to current environment parameter is gone to image
Make an uproar processing, caused by the image frame that exports it is fuzzy the problem of, enabling lift the quality of output image, improve output figure
The picture effect of picture.
Further, referring to Fig. 5, the structure that Fig. 5 is another image denoising device provided in an embodiment of the present invention is shown
It is intended to.Specifically, as shown in figure 5, the described device of the embodiment of the present invention can be with the first of above-mentioned Fig. 4 image denoising device
Acquisition module 11, the second acquisition module 12, parameter determination module 13 and image processing module 14.Further, in the present invention
In embodiment, the parameter determination module 13 may particularly include：
First determining unit 131, for according to the current environmental light brightness value, it is determined that first to the collection image
Removing-noise strength parameter；
Computing unit 132, for calculating the ratio of the first resolution and the second resolution；
Parameter adjustment unit 133, for the ratio being calculated according to the computing unit 132, adjustment described the
One removing-noise strength parameter, obtain target removing-noise strength parameter.
In specific embodiment, camera application is opened in user, when calling camera collection image, you can triggering first obtains
Module 11 obtains current environmental light brightness value, then the first determining unit 131 can be determined pair according to the current environment brightness values
The current default removing-noise strength parameter of the collection image, i.e. the first removing-noise strength parameter.
Optionally, the ratio can be the quotient that the second resolution divided by the first resolution obtain, then institute
It is directly proportional to the ratio to state removing-noise strength corresponding to target removing-noise strength parameter.
Specifically, the resolution ratio for assuming camera sensing device sensor outputs is that first resolution is x_output, y_
Output, and the resolution ratio needed during camera application output image i.e. second resolution is x_need, y_need, the then ratio
Can be the quotient that the second resolution divided by first resolution obtain, i.e. ratio r atio=(x_need*y_need)/(x_
output*y_output).When ratio is smaller, done in the image that the image processor ISP of terminal gathers to camera at sampling
Noise is smeared more severe during reason, and therefore, image processing module 14 carries out the removing-noise strength of denoising to the collection image
(denoise_strength) just should be smaller.That is, the ratio that parameter adjustment unit 133 can calculate according to computing unit 132
Value ratio further adjusts the removing-noise strength parameter to image, for example parameter adjustment unit 133 can be according to denoise_
Strength1*ratio determines target removing-noise strength, wherein, the denoise_strength1 is the first removing-noise strength ginseng
Removing-noise strength corresponding to number.That is, the resolution ratio needed when output image is consistent with the resolution ratio that sensor is exported, i.e.,
Take pictures needs size it is identical with sensor Output Sizes when, parameter adjustment unit 133 can use acquiescence removing-noise strength ginseng
Number is that the first removing-noise strength parameter carries out image denoising processing, and the reduction of the resolution ratio with the needs, ratio r atio subtract
Small, parameter adjustment unit 133 can readjust image denoising intensive parameter, and the denoising reduced in proportion to the collection image is strong
Degree, obtains target removing-noise strength such as denoise_strength=denoise_strength1*ratio, i.e. the target denoising is strong
It is directly proportional to the ratio to spend removing-noise strength corresponding to parameter.
Optionally, the ratio can also be the quotient that the first resolution divided by the second resolution obtain, then
Removing-noise strength is inversely proportional with the ratio corresponding to the target removing-noise strength parameter.
Specifically, the ratio of the first resolution and second resolution can also be the first resolution divided by described second
The quotient that resolution ratio obtains, i.e. ratio r atio=(x_output*y_output)/(x_need*y_need).Correspondingly, parameter
Adjustment unit 133 can determine target removing-noise strength according to denoise_strength1/ratio, wherein, the denoise_
Strength1 is removing-noise strength corresponding to the first removing-noise strength parameter.That is, the resolution ratio needed when output image
When consistent with the resolution ratio of sensor outputs, it be first to go that parameter adjustment unit 133, which can use the removing-noise strength parameter of acquiescence,
Intensive parameter of making an uproar carries out image denoising processing, and with the reduction of the second resolution, ratio r atio increases, parameter adjustment list
Member 133 can readjust image denoising intensive parameter, reduce the removing-noise strength to the collection image in proportion, obtain target and go
Corresponding to intensity of making an uproar such as denoise_strength=denoise_strength1/ratio, i.e. the target removing-noise strength parameter
Removing-noise strength is inversely proportional with the ratio.
Further alternative, in embodiments of the present invention, the current environmental light brightness value includes the photosensitive of current environment
Spend ISO values；First determining unit 131 can be specifically used for：
By the ISO values of the current environment compared with the ISO values in the ISO sections stored, work as front ring described in judgement
Whether the ISO values in border are in the ISO interval ranges；If the ISO values of the current environment are in the ISO interval ranges
It is interior, then removing-noise strength parameter corresponding to the ISO sections is defined as the first removing-noise strength parameter to the collection image.
In specific embodiment, determine to obtain current default according to current environmental light brightness value in the first determining unit 131
Removing-noise strength parameter is the first removing-noise strength parameter, and is differentiated in parameter adjustment unit 133 according to the first resolution and second
The ratio of rate is adjusted to the first removing-noise strength parameter, after obtaining final target removing-noise strength parameter, image procossing
Module 14 can be based on the target removing-noise strength parameter and carry out image denoising processing, big so as to obtain resolution ratio needed for camera application
Small image.
In embodiments of the present invention, when starting camera, can determine to give tacit consent to by obtaining current environmental light brightness value
Removing-noise strength parameter be the first removing-noise strength parameter, and by calculate camera sensing device export first resolution and output
The ratio for the second resolution that image needs, is adjusted based on the ratio to the acquiescence removing-noise strength parameter of current acquired image
It is whole, so as to finally determine be adapted to current acquired image removing-noise strength parameter, i.e., can be with reference to output image required for divide
Resolution size adjusts the removing-noise strength used to present image, so as to when avoiding that resolution ratio is relatively low needed for output image, only
Denoising carried out to image according to the removing-noise strength that current environment parameter determines, caused by the image frame that exports it is fuzzy
Problem, the quality of output image can be lifted, improve the picture effect of output image.
Further, referring to Fig. 6, the structure that Fig. 6 is another image denoising device provided in an embodiment of the present invention is shown
It is intended to.Specifically, as shown in fig. 6, the described device of the embodiment of the present invention can be with the first of above-mentioned Fig. 4 image denoising device
Acquisition module 11, the second acquisition module 12, parameter determination module 13 and image processing module 14.Further, in the present invention
In embodiment, the parameter determination module 13 may particularly include：
Searching unit 134, for being found out from the parameter configuration list of storage and the current environmental light brightness value, institute
Removing-noise strength parameter corresponding to first resolution and the second resolution is stated, the parameter configuration list includes different environment
The mapping relations of brightness values, first resolution and second resolution；
Second determining unit 135, the removing-noise strength parameter for the searching unit 134 to be found out are defined as institute
State the target removing-noise strength parameter of collection image.
In specific embodiment, the parameter configuration list can be pre-configured with to obtain, and the parameter configuration list includes multigroup ring
The mapping relations of border brightness values, first resolution and second resolution and removing-noise strength parameter.When the first acquisition module 11
Current environmental light brightness value is acquired, after the second acquisition module 12 acquires first resolution and second resolution, is looked into
Look for unit 134 can be using current environment brightness values, first resolution and the second resolution as index, in preset parameter
Removing-noise strength ginseng corresponding with the current environment brightness values, first resolution and second resolution is found out in configured list
The removing-noise strength parameter that this finds out can be defined as carrying out image the target of denoising by number, the second determining unit 135
Removing-noise strength parameter.
It should be noted that in the parameter configuration list, can be each group of environment bright angle value, first resolution and
The corresponding one group of removing-noise strength parameter of second resolution, or multigroup environment bright angle value, first resolution and second resolution pair
One group of removing-noise strength parameter is answered, the embodiment of the present invention does not limit.
In specific embodiment, after the second determining unit 135 determines to obtain final target removing-noise strength parameter, image
Processing module 14 can be based on the target removing-noise strength parameter and carry out image denoising processing, so as to obtain resolution needed for camera application
The image of rate size.
In embodiments of the present invention, can be by obtaining current environmental light brightness value, camera sensing when starting camera
The second resolution that the first resolution and output image of device output need, and find out from preset parameter configuration list with
The current environment brightness values, first resolution and removing-noise strength parameter corresponding to second resolution are used as to current acquired image
Removing-noise strength parameter, i.e., can determine to go present image use with reference to the resolution sizes required for output image
Make an uproar intensity, when avoiding that resolution ratio is relatively low needed for output image, the removing-noise strength determined according only to current environment parameter is to image
Carry out denoising, caused by the image frame that exports it is fuzzy the problem of, the quality of output image can be lifted, improve output
The picture effect of image.
Referring to Fig. 7, Fig. 7 is a kind of structural representation of terminal provided in an embodiment of the present invention, it is above-mentioned for performing
Image de-noising method based on resolution ratio.As shown in fig. 7, the terminal can include：At least one processor 100, at least one
Individual input unit 200, at least one output device 300, the grade component of memory 500.Wherein, these components pass through one or more
Bus 400 is communicatively coupled.It will be understood by those skilled in the art that the structure of the terminal shown in Fig. 7 is not formed to this
The restriction of inventive embodiments, it both can be busbar network or hub-and-spoke configuration, can also include than illustrate it is more or
Less part, either combine some parts or different parts arrangement.Wherein：
Processor 100 is the control centre of terminal, using various interfaces and the various pieces of the whole terminal of connection, is led to
Cross operation or perform the program and/or module being stored in memory 500, and call the data being stored in memory 500,
To perform the various functions of terminal and processing data.Processor 100 can be by integrated circuit (Integrated Circuit, letter
Claim IC) composition, such as can be made up of the IC of single encapsulation, can also be by the envelope of more identical functions of connection or difference in functionality
Fill IC and form.For example, processor 100 can only include central processing unit (Central Processing Unit, letter
Claim CPU) or CPU, digital signal processor (digital signal processor, abbreviation DSP), graphics process
The combination of device (Graphic Processing Unit, abbreviation GPU) and various control chips.In embodiments of the present invention,
CPU can be single arithmetic core, can also include multioperation core.
It is first-class that input unit 200 can include the touch-screen of standard, keyboard, shooting, can also include wireline interface, wireless
Interface etc..
Output device 300 can include display screen, loudspeaker etc., can also include wireline interface, wave point etc..
Memory 500 can be used for storage software program and module, processor 100, input unit 200 and output device
300 are stored in software program and module in memory 500 by calling, so as to perform the application of the various functions of terminal and
Realize data processing.Memory 500 mainly includes program storage area and data storage area, wherein, program storage area can store behaviour
Make system, application program needed at least one function etc.；Data storage area can store uses created number according to terminal
According to etc..In embodiments of the present invention, operating system can be android system, iOS system or Windows operating system etc..
Specifically, processor 100 calls the application program being stored in memory 500, for performing following steps：
When opening camera, current environmental light brightness value is obtained；
First resolution and second resolution corresponding to the collection image of the camera are obtained, wherein, described first point
Resolution is the resolution ratio of camera sensing device output, and the second resolution, which is that output is described, gathers the resolution needed during image
Rate；
Based on the current environmental light brightness value, the first resolution and the second resolution, obtain and adopted to described
Collect the target removing-noise strength parameter of image；
Denoising is carried out to the collection image using the target removing-noise strength parameter, and passes through output device 300
Export the collection image after the denoising.
Optionally, processor 100 calls the application program being stored in memory 500 execution is described to work as front ring based on described
Border brightness values, the first resolution and the second resolution, obtain and the target removing-noise strength of the collection image is joined
Number, specifically performs following steps：
According to the current environmental light brightness value, it is determined that the first removing-noise strength parameter to the collection image；
Calculate the ratio of the first resolution and the second resolution；
According to the ratio, the first removing-noise strength parameter is adjusted, obtains target removing-noise strength parameter.
Optionally, the quotient that the ratio obtains for the second resolution divided by the first resolution, the target
Removing-noise strength is directly proportional to the ratio corresponding to removing-noise strength parameter.
Optionally, the quotient that the ratio obtains for the first resolution divided by the second resolution, the target
Removing-noise strength corresponding to removing-noise strength parameter is inversely proportional with the ratio.
Optionally, the current environmental light brightness value includes the sensitivity ISO values of current environment；Processor 100 is called and deposited
The application program execution stored up in memory 500 is described according to the current environmental light brightness value, it is determined that to the collection image
The first removing-noise strength parameter, specifically perform following steps：
By the ISO values of the current environment compared with the ISO values in the ISO sections stored, work as front ring described in judgement
Whether the ISO values in border are in the ISO interval ranges；
If the ISO values of the current environment are in the ISO interval ranges, by denoising corresponding to the ISO sections
Intensive parameter is defined as the first removing-noise strength parameter to the collection image.
Optionally, processor 100 calls the application program being stored in memory 500 execution is described to work as front ring based on described
Border brightness values, the first resolution and the second resolution, obtain and the target removing-noise strength of the collection image is joined
Number, specifically performs following steps：
Found out from the parameter configuration list of storage and the current environmental light brightness value, the first resolution and institute
State removing-noise strength parameter corresponding to second resolution, the parameter configuration list include different environment bright angle values, first point
The mapping relations of resolution and second resolution；
The removing-noise strength parameter found out is defined as to the target removing-noise strength parameter of the collection image.
In embodiments of the present invention, can be when opening camera, by obtaining current environmental light brightness value, camera sensing
The second resolution that the first resolution and output image of device output need is strong to determine to obtain denoising to current acquired image
Parameter is spent, i.e., can adjust the removing-noise strength used to present image with reference to the resolution sizes required for output image, from
And when avoiding that resolution ratio is relatively low needed for output image, the removing-noise strength determined according only to current environment parameter is gone to image
Make an uproar processing, caused by the image frame that exports it is fuzzy the problem of, enabling lift the quality of output image, improve output figure
The picture effect of picture.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not have the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiment.
One of ordinary skill in the art will appreciate that realize all or part of flow in above-described embodiment method, being can be with
The hardware of correlation is instructed to complete by computer program, described program can be stored in a computer read/write memory medium
In, the program is upon execution, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, described storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, abbreviation RAM) etc..
Above disclosure is only preferred embodiment of present invention, can not limit the right model of the present invention with this certainly
Enclose, therefore the equivalent variations made according to the claims in the present invention, still belong to the scope that the present invention is covered.
Claims (12)
- A kind of 1. image de-noising method based on resolution ratio, it is characterised in that including：When opening camera, current environmental light brightness value is obtained；First resolution and second resolution corresponding to the collection image of the camera are obtained, wherein, the first resolution It is the resolution ratio of camera sensing device output, the second resolution, which is that output is described, gathers the resolution ratio needed during image；Based on the current environmental light brightness value, the first resolution and the second resolution, obtain to the collection figure The target removing-noise strength parameter of picture；Denoising is carried out to the collection image using the target removing-noise strength parameter, exports adopting after the denoising Collect image.
- 2. according to the method for claim 1, it is characterised in that it is described based on the current environmental light brightness value, described the One resolution ratio and the second resolution, the target removing-noise strength parameter to the collection image is obtained, including：According to the current environmental light brightness value, it is determined that the first removing-noise strength parameter to the collection image；Calculate the ratio of the first resolution and the second resolution；According to the ratio, the first removing-noise strength parameter is adjusted, obtains target removing-noise strength parameter.
- 3. according to the method for claim 2, it is characterised in that the ratio is the second resolution divided by described first The quotient that resolution ratio obtains, removing-noise strength corresponding to the target removing-noise strength parameter are directly proportional to the ratio.
- 4. according to the method for claim 2, it is characterised in that the ratio is the first resolution divided by described second The quotient that resolution ratio obtains, removing-noise strength is inversely proportional with the ratio corresponding to the target removing-noise strength parameter.
- 5. according to the method described in claim any one of 2-4, it is characterised in that the current environmental light brightness value includes current The sensitivity ISO values of environment；It is described according to the current environmental light brightness value, it is determined that to it is described collection image the first denoising it is strong Parameter is spent, including：By the ISO values of the current environment compared with the ISO values in the ISO sections stored, the current environment is judged Whether ISO values are in the ISO interval ranges；If the ISO values of the current environment are in the ISO interval ranges, by removing-noise strength corresponding to the ISO sections Parameter is defined as the first removing-noise strength parameter to the collection image.
- 6. according to the method for claim 1, it is characterised in that it is described based on the current environmental light brightness value, described the One resolution ratio and the second resolution, the target removing-noise strength parameter to the collection image is obtained, including：Found out from the parameter configuration list of storage and the current environmental light brightness value, the first resolution and described Removing-noise strength parameter corresponding to two resolution ratio, the parameter configuration list include different environment bright angle values, first resolution Mapping relations between second resolution three and removing-noise strength parameter；The removing-noise strength parameter found out is defined as to the target removing-noise strength parameter of the collection image.
- A kind of 7. image denoising device, it is characterised in that including：First acquisition module, for when opening camera, obtaining current environmental light brightness value；Second acquisition module, for obtaining first resolution and second resolution corresponding to the collection image of the camera, its In, the first resolution is the resolution ratio of camera sensing device output, and the second resolution is the output collection image When the resolution ratio that needs；Parameter determination module, for based on the current environmental light brightness value, the first resolution and the second resolution, Obtain the target removing-noise strength parameter to the collection image；Image processing module, for the target removing-noise strength parameter that is obtained using the parameter determination module to the collection Image carries out denoising, exports the collection image after the denoising.
- 8. device according to claim 7, it is characterised in that the parameter determination module includes：First determining unit, for according to the current environmental light brightness value, it is determined that the first denoising to the collection image is strong Spend parameter；Computing unit, for calculating the ratio of the first resolution and the second resolution；Parameter adjustment unit, for the ratio being calculated according to the computing unit, adjust first removing-noise strength Parameter, obtain target removing-noise strength parameter.
- 9. device according to claim 8, it is characterised in that the ratio is the second resolution divided by described first The quotient that resolution ratio obtains, removing-noise strength corresponding to the target removing-noise strength parameter are directly proportional to the ratio.
- 10. device according to claim 8, it is characterised in that the ratio is the first resolution divided by described the The quotient that two resolution ratio obtain, removing-noise strength is inversely proportional with the ratio corresponding to the target removing-noise strength parameter.
- 11. according to the device described in claim any one of 8-10, it is characterised in that the current environmental light brightness value includes working as The sensitivity ISO values of preceding environment；First determining unit is specifically used for：By the ISO values of the current environment compared with the ISO values in the ISO sections stored, the current environment is judged Whether ISO values are in the ISO interval ranges；If the ISO values of the current environment are in the ISO interval ranges, Removing-noise strength parameter corresponding to the ISO sections is defined as the first removing-noise strength parameter to the collection image.
- 12. device according to claim 7, it is characterised in that the parameter determination module includes：Searching unit, for being found out from the parameter configuration list of storage and the current environmental light brightness value, described first Removing-noise strength parameter corresponding to resolution ratio and the second resolution, the parameter configuration list include different environmental light brightness Mapping relations between value, first resolution and second resolution three and removing-noise strength parameter；Second determining unit, the removing-noise strength parameter for the searching unit to be found out are defined as the collection image Target removing-noise strength parameter.
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| CN105306788B (en) * | 2015-10-27 | 2018-05-15 | 广东欧珀移动通信有限公司 | A kind of noise-reduction method and device of image of taking pictures |
| CN105898151A (en) * | 2015-11-15 | 2016-08-24 | 乐视移动智能信息技术（北京）有限公司 | Image processing method and device |
| CN107635098B (en) * | 2017-10-30 | 2019-09-10 | Oppo广东移动通信有限公司 | High dynamic range images noise remove method, device and equipment |
| CN110121031B (en) * | 2019-06-11 | 2021-03-12 | Oppo广东移动通信有限公司 | Image acquisition method and device, electronic equipment and computer readable storage medium |
| CN110248106B (en) * | 2019-06-13 | 2021-04-23 | Oppo广东移动通信有限公司 | Image noise reduction method and device, electronic equipment and storage medium |
| CN110191291B (en) * | 2019-06-13 | 2021-06-25 | Oppo广东移动通信有限公司 | Image processing method and device based on multi-frame images |
| CN111147695B (en) * | 2019-12-31 | 2022-05-13 | Oppo广东移动通信有限公司 | Image processing method, image processor, shooting device and electronic equipment |
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| US7548261B2 (en) * | 2004-11-30 | 2009-06-16 | Digital Imaging Systems Gmbh | Column averaging/row averaging circuit for image sensor resolution adjustment in high intensity light environment |
| CN101188773A (en) * | 2006-11-24 | 2008-05-28 | 奥林巴斯映像株式会社 | Camera and image processing method |
| CN101437103A (en) * | 2007-11-16 | 2009-05-20 | 富士能株式会社 | Imaging system, imaging apparatus, portable terminal apparatus, onboard apparatus, and medical apparatus, and method of manufacturing the imaging system |
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